Felipe Cucker

9.2k citations
109 papers · 5.2k indexed · 2 hit papers · h-index 25

Felipe Cucker

104 papers receiving 4.8k citations

Hit Papers

Emergent Behavior in Flocks1.1k20012026200920172505007501000

Peers

Felipe Cucker
Comparison fields: 5 of 136
  • Modeling and Simulation 406
  • Computational Mathematics 50
  • Numerical Analysis 418
  • Computational Theory and Mathematics 1.1k
  • Computer Networks and Communications 1.5k
Replace Steve Smale with:
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R. Z. Khas’minskiĭ United States
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B. T. Polyak Russia
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Felipe Cucker relative to Steve Smale United States Steve Smale's profile →
Citations per field
00.5×1.5×
Steve Smale · 1×
Citations per year

Countries citing papers authored by Felipe Cucker

Since Specialization
Citations

This map shows the geographic impact of Felipe Cucker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Felipe Cucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Cucker more than expected).

Fields of papers citing papers by Felipe Cucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe Cucker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Felipe Cucker. The network helps show where Felipe Cucker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Felipe Cucker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Felipe Cucker Line = papers co-authored together Felipe Cucker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Computing the Homology of Basic Semialgebraic Sets in Weak Exponential Time
201711
2 201011
3 20103
4 20091
5 200814
6
Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics)
2007120
7 2007131
8 200619
9 20057
10 200529
11 20059
12 2002175
13 20022
14 20010
15 19995
16 19997
17 19964
18 199521
19 199423
20 19929

About Felipe Cucker

Felipe Cucker is a scholar working on Computational Theory and Mathematics, Computational Mathematics and Numerical Analysis, having authored 109 papers that have together received 5.2k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (29 papers), Computability, Logic, AI Algorithms (20 papers), Advanced Optimization Algorithms Research (16 papers), Complexity and Algorithms in Graphs (14 papers), Numerical Methods and Algorithms (13 papers), semigroups and automata theory (10 papers), Distributed Control Multi-Agent Systems (10 papers) and Matrix Theory and Algorithms (9 papers). The work is most often cited by research in Modeling and Simulation (406 citations), Computational Mathematics (50 citations) and Numerical Analysis (418 citations). Felipe Cucker has collaborated with scholars based in Hong Kong, United States and Spain. Frequent co-authors include Steve Smale, Ding Zhou, Jiu‐Gang Dong, Michael Shub, Lenore Blum, Peter Bürgisser, Ernesto Mordecki, Huaian Diao, Cristián Huepe and Yimin Wei. Their work appears in journals such as Journal of Complexity, Foundations of Computational Mathematics, SIAM Journal on Optimization, IEEE Transactions on Automatic Control and SIAM Journal on Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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